DIGITAP.AI provides high tech advanced AI / ML solutions to new age internet driven businesses for reliable, fast and 100% compliant Customer Onboarding, Automated Risk Management along with Big Data enabled services like Risk Analytics and Customised Scorecards. Our proprietary Machine Learning Algorithms and Modules provide one of the best success rates in the market. Working with the various digital lenders of India, the team brings together deep and vibrant experience in Fintech Product & Risk Management, Fraud Detection and BIG DATA Analytics.

Product Manager (Fraud and Analytics):

About the Role:

As the Product Manager for the Fraud & Analytics team, you will lead the development of innovative solutions to detect forgery in banking statements. You will work closely with engineering, business and operations teams to build robust products that safeguard our financial processes while driving actionable insights.

Key Responsibilities:

Product Strategy & Roadmap:
Execute a product roadmap focused on advanced fraud detection. Prioritize features and enhancements that streamline the analysis of bank transaction statements.

Cross-Functional Collaboration:
Partner with engineers, business and operations to define requirements, identify fraud patterns and validate the integrity of bank statements.

Data-Driven Decision Making:
Leverage analytics and market insights to identify emerging fraud patterns. Use metrics to inform product improvements and iterate on existing solutions.

Stakeholder Engagement:
Communicate product vision and progress with management and key stakeholders. Ensure alignment with overall business objectives and risk management strategies.

Innovation & Improvement:
Stay current with industry trends and regulatory changes to proactively address new fraud threats. Foster a culture of continuous improvement by testing and deploying innovative detection methodologies.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, Business Analytics, Finance or a related field is a good to have.

2+ years of product management experience, ideally within lending, risk management, underwriting or analytics domains

Proven track record in managing products that rely on complex data driven insights.

Strong analytical skills and a deep understanding of fraud detection technologies.

Excellent communication skills with the ability to translate technical details into strategic insights.